Overview

Dataset statistics

Number of variables14
Number of observations3417
Missing cells7642
Missing cells (%)16.0%
Duplicate rows106
Duplicate rows (%)3.1%
Total size in memory373.9 KiB
Average record size in memory112.0 B

Variable types

Numeric13
Categorical1

Alerts

MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_16_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has constant value "0.0"Constant
Dataset has 106 (3.1%) duplicate rowsDuplicates
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_24_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE is highly overall correlated with MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_22_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MOREHigh correlation
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_22_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE is highly overall correlated with MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_24_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MOREHigh correlation
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_12_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE is highly overall correlated with MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_09_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MOREHigh correlation
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_09_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE is highly overall correlated with MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_12_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MOREHigh correlation
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_07_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE is highly overall correlated with MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_05_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MOREHigh correlation
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_05_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE is highly overall correlated with MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_07_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE and 1 other fieldsHigh correlation
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_03_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE is highly overall correlated with MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_05_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MOREHigh correlation
1._Gains_from_stock_issuance_and_capital_contributions_from_shareholders has 641 (18.8%) missing valuesMissing
2._Repayments_of_capital_contributions_to_owners_and_re-purchases_of_stocks_already_issued has 706 (20.7%) missing valuesMissing
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_24_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 641 (18.8%) missing valuesMissing
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_22_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 641 (18.8%) missing valuesMissing
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_20_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 706 (20.7%) missing valuesMissing
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_18_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 641 (18.8%) missing valuesMissing
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_16_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 641 (18.8%) missing valuesMissing
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_14_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 641 (18.8%) missing valuesMissing
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_12_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 641 (18.8%) missing valuesMissing
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_10_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 736 (21.5%) missing valuesMissing
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_09_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 641 (18.8%) missing valuesMissing
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_07_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 122 (3.6%) missing valuesMissing
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_05_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 122 (3.6%) missing valuesMissing
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_03_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 122 (3.6%) missing valuesMissing
1._Gains_from_stock_issuance_and_capital_contributions_from_shareholders is highly skewed (γ1 = 27.67906046)Skewed
2._Repayments_of_capital_contributions_to_owners_and_re-purchases_of_stocks_already_issued is highly skewed (γ1 = -22.61172164)Skewed
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_20_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE is highly skewed (γ1 = -44.12978503)Skewed
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_10_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE is highly skewed (γ1 = 26.73050043)Skewed
1._Gains_from_stock_issuance_and_capital_contributions_from_shareholders has 2068 (60.5%) zerosZeros
2._Repayments_of_capital_contributions_to_owners_and_re-purchases_of_stocks_already_issued has 2505 (73.3%) zerosZeros
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_24_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 536 (15.7%) zerosZeros
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_22_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 455 (13.3%) zerosZeros
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_20_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 2475 (72.4%) zerosZeros
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_18_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 778 (22.8%) zerosZeros
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_12_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 35 (1.0%) zerosZeros
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_10_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE has 1431 (41.9%) zerosZeros

Reproduction

Analysis started2024-03-12 12:12:31.379255
Analysis finished2024-03-12 12:13:23.022326
Duration51.64 seconds
Software versionpandas-profiling v0.0.dev0
Download configurationconfig.json

Variables

Distinct648
Distinct (%)23.3%
Missing641
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean6.3525625 × 1010
Minimum-5.442 × 109
Maximum2.0295103 × 1013
Zeros2068
Zeros (%)60.5%
Negative13
Negative (%)0.4%
Memory size26.8 KiB
2024-03-12T19:13:23.092096image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-5.442 × 109
5-th percentile0
Q10
median0
Q3453625
95-th percentile2.0892708 × 1011
Maximum2.0295103 × 1013
Range2.0300545 × 1013
Interquartile range (IQR)453625

Descriptive statistics

Standard deviation6.0445768 × 1011
Coefficient of variation (CV)9.5151788
Kurtosis887.02228
Mean6.3525625 × 1010
Median Absolute Deviation (MAD)0
Skewness27.67906
Sum1.7634714 × 1014
Variance3.6536909 × 1023
MonotonicityNot monotonic
2024-03-12T19:13:23.212819image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2068
60.5%
5 × 10106
 
0.2%
5000000000 5
 
0.1%
2000000000 5
 
0.1%
300000000 4
 
0.1%
1000000000 4
 
0.1%
2 × 10114
 
0.1%
3 × 10113
 
0.1%
3 × 10103
 
0.1%
1 × 10103
 
0.1%
Other values (638) 671
 
19.6%
(Missing) 641
 
18.8%
ValueCountFrequency (%)
-5442000000 1
< 0.1%
-4000000000 1
< 0.1%
-3717924661 1
< 0.1%
-720007481 1
< 0.1%
-710000000 1
< 0.1%
-286000000 1
< 0.1%
-245088000 1
< 0.1%
-150150000 1
< 0.1%
-121000000 1
< 0.1%
-43000000 1
< 0.1%
ValueCountFrequency (%)
2.0295103 × 10131
< 0.1%
1.9985769 × 10131
< 0.1%
6.911822 × 10121
< 0.1%
5.512837775 × 10121
< 0.1%
4.011741162 × 10121
< 0.1%
3.9926 × 10121
< 0.1%
3.614804 × 10121
< 0.1%
2.692592620 × 10121
< 0.1%
2.670562 × 10121
< 0.1%
2.068236664 × 10121
< 0.1%
Distinct200
Distinct (%)7.4%
Missing706
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean-1.5990231 × 109
Minimum-6.0756568 × 1011
Maximum2.5867221 × 1010
Zeros2505
Zeros (%)73.3%
Negative200
Negative (%)5.9%
Memory size26.8 KiB
2024-03-12T19:13:23.347567image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-6.0756568 × 1011
5-th percentile-2.805978 × 108
Q10
median0
Q30
95-th percentile0
Maximum2.5867221 × 1010
Range6.334329 × 1011
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9963478 × 1010
Coefficient of variation (CV)-12.484797
Kurtosis594.22323
Mean-1.5990231 × 109
Median Absolute Deviation (MAD)0
Skewness-22.611722
Sum-4.3349516 × 1012
Variance3.9854046 × 1020
MonotonicityNot monotonic
2024-03-12T19:13:23.463860image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2505
73.3%
-60000000 2
 
0.1%
-1.189451102 × 10102
 
0.1%
-7870046050 2
 
0.1%
-20000000 2
 
0.1%
-10000 2
 
0.1%
-1300000000 2
 
0.1%
-30000000 2
 
0.1%
-3006577 1
 
< 0.1%
-1407670000 1
 
< 0.1%
Other values (190) 190
 
5.6%
(Missing) 706
 
20.7%
ValueCountFrequency (%)
-6.07565681 × 10111
< 0.1%
-5.350328327 × 10111
< 0.1%
-4.37817479 × 10111
< 0.1%
-1.96732132 × 10111
< 0.1%
-1.779718421 × 10111
< 0.1%
-1.57536 × 10111
< 0.1%
-1.462326066 × 10111
< 0.1%
-1.444205335 × 10111
< 0.1%
-1.036326437 × 10111
< 0.1%
-1.024842693 × 10111
< 0.1%
ValueCountFrequency (%)
2.586722086 × 10101
 
< 0.1%
9664556768 1
 
< 0.1%
5576221000 1
 
< 0.1%
1407000000 1
 
< 0.1%
35100000 1
 
< 0.1%
1400000 1
 
< 0.1%
0 2505
73.3%
-10000 2
 
0.1%
-68940 1
 
< 0.1%
-90000 1
 
< 0.1%
Distinct2189
Distinct (%)78.9%
Missing641
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean8.0371959 × 1011
Minimum-1.7523582 × 1011
Maximum8.5591617 × 1013
Zeros536
Zeros (%)15.7%
Negative4
Negative (%)0.1%
Memory size26.8 KiB
2024-03-12T19:13:23.586430image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-1.7523582 × 1011
5-th percentile0
Q14.7 × 109
median8.7019065 × 1010
Q35.3267473 × 1011
95-th percentile3.3987867 × 1012
Maximum8.5591617 × 1013
Range8.5766852 × 1013
Interquartile range (IQR)5.2797473 × 1011

Descriptive statistics

Standard deviation2.866076 × 1012
Coefficient of variation (CV)3.5660148
Kurtosis328.45633
Mean8.0371959 × 1011
Median Absolute Deviation (MAD)8.7019065 × 1010
Skewness14.291704
Sum2.2311256 × 1015
Variance8.2143914 × 1024
MonotonicityNot monotonic
2024-03-12T19:13:23.696020image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 536
 
15.7%
6000000000 8
 
0.2%
5 × 10105
 
0.1%
1000000000 4
 
0.1%
2000000000 4
 
0.1%
1 × 10104
 
0.1%
3000000000 4
 
0.1%
500000000 4
 
0.1%
3 × 10103
 
0.1%
1.4 × 10103
 
0.1%
Other values (2179) 2201
64.4%
(Missing) 641
 
18.8%
ValueCountFrequency (%)
-1.752358182 × 10111
 
< 0.1%
-2.776722086 × 10101
 
< 0.1%
-7286068882 1
 
< 0.1%
-467838019 1
 
< 0.1%
0 536
15.7%
100000000 1
 
< 0.1%
122175010 1
 
< 0.1%
139512490 1
 
< 0.1%
156230575 1
 
< 0.1%
190000000 1
 
< 0.1%
ValueCountFrequency (%)
8.559161658 × 10131
< 0.1%
4.806315129 × 10131
< 0.1%
3.412142963 × 10131
< 0.1%
3.20020261 × 10131
< 0.1%
3.160218398 × 10131
< 0.1%
2.836683949 × 10131
< 0.1%
2.78107745 × 10131
< 0.1%
2.130699583 × 10131
< 0.1%
1.86317882 × 10131
< 0.1%
1.85654797 × 10131
< 0.1%
Distinct2264
Distinct (%)81.6%
Missing641
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean-7.5383561 × 1011
Minimum-7.4823927 × 1013
Maximum1.7615771 × 1011
Zeros455
Zeros (%)13.3%
Negative2318
Negative (%)67.8%
Memory size26.8 KiB
2024-03-12T19:13:23.822796image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-7.4823927 × 1013
5-th percentile-3.2913717 × 1012
Q1-4.733985 × 1011
median-8.1657525 × 1010
Q3-6.4144511 × 109
95-th percentile0
Maximum1.7615771 × 1011
Range7.5000085 × 1013
Interquartile range (IQR)4.6698405 × 1011

Descriptive statistics

Standard deviation2.654936 × 1012
Coefficient of variation (CV)-3.5219031
Kurtosis280.09685
Mean-7.5383561 × 1011
Median Absolute Deviation (MAD)8.1657525 × 1010
Skewness-13.311905
Sum-2.0926477 × 1015
Variance7.0486852 × 1024
MonotonicityNot monotonic
2024-03-12T19:13:23.934928image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 455
 
13.3%
-1000000000 7
 
0.2%
-3000000000 6
 
0.2%
-6000000000 6
 
0.2%
-2000000000 5
 
0.1%
-4942664272 4
 
0.1%
-8000000000 4
 
0.1%
-500000000 4
 
0.1%
-1960000000 3
 
0.1%
-1 × 10103
 
0.1%
Other values (2254) 2279
66.7%
(Missing) 641
 
18.8%
ValueCountFrequency (%)
-7.482392686 × 10131
< 0.1%
-4.683680475 × 10131
< 0.1%
-3.481737641 × 10131
< 0.1%
-2.959416128 × 10131
< 0.1%
-2.815998803 × 10131
< 0.1%
-2.638493949 × 10131
< 0.1%
-2.34115454 × 10131
< 0.1%
-2.306916483 × 10131
< 0.1%
-1.965666449 × 10131
< 0.1%
-1.935759512 × 10131
< 0.1%
ValueCountFrequency (%)
1.761577065 × 10111
 
< 0.1%
5.347249814 × 10101
 
< 0.1%
2.743616903 × 10101
 
< 0.1%
0 455
13.3%
-500000 1
 
< 0.1%
-1795000 1
 
< 0.1%
-13714472 1
 
< 0.1%
-36173651 1
 
< 0.1%
-43000000 1
 
< 0.1%
-46623535 1
 
< 0.1%
Distinct232
Distinct (%)8.6%
Missing706
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean-2.0902821 × 109
Minimum-1.5111405 × 1012
Maximum0
Zeros2475
Zeros (%)72.4%
Negative236
Negative (%)6.9%
Memory size26.8 KiB
2024-03-12T19:13:24.059630image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-1.5111405 × 1012
5-th percentile-2.3309385 × 109
Q10
median0
Q30
95-th percentile0
Maximum0
Range1.5111405 × 1012
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0719362 × 1010
Coefficient of variation (CV)-14.696276
Kurtosis2152.0491
Mean-2.0902821 × 109
Median Absolute Deviation (MAD)0
Skewness-44.129785
Sum-5.6667547 × 1012
Variance9.436792 × 1020
MonotonicityNot monotonic
2024-03-12T19:13:24.173156image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2475
72.4%
-2332999992 2
 
0.1%
-434878140 2
 
0.1%
-194400000 2
 
0.1%
-507840000 2
 
0.1%
-177490560 2
 
0.1%
-7612457737 1
 
< 0.1%
-1739935330 1
 
< 0.1%
-542138757 1
 
< 0.1%
-5.915453 × 10101
 
< 0.1%
Other values (222) 222
 
6.5%
(Missing) 706
 
20.7%
ValueCountFrequency (%)
-1.511140537 × 10121
< 0.1%
-2.025382211 × 10111
< 0.1%
-1.300209521 × 10111
< 0.1%
-1.287284 × 10111
< 0.1%
-1.235219161 × 10111
< 0.1%
-1.232784179 × 10111
< 0.1%
-1.081319775 × 10111
< 0.1%
-1.07955913 × 10111
< 0.1%
-1.041779366 × 10111
< 0.1%
-9.92892393 × 10101
< 0.1%
ValueCountFrequency (%)
0 2475
72.4%
-19441666 1
 
< 0.1%
-29501306 1
 
< 0.1%
-34845000 1
 
< 0.1%
-58660998 1
 
< 0.1%
-94535917 1
 
< 0.1%
-110143091 1
 
< 0.1%
-120740571 1
 
< 0.1%
-121404545 1
 
< 0.1%
-130166061 1
 
< 0.1%
Distinct1871
Distinct (%)67.4%
Missing641
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean-6.1168432 × 1010
Minimum-5.212766 × 1012
Maximum4.0906602 × 1011
Zeros778
Zeros (%)22.8%
Negative1989
Negative (%)58.2%
Memory size26.8 KiB
2024-03-12T19:13:24.549551image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-5.212766 × 1012
5-th percentile-2.2904806 × 1011
Q1-2.6144915 × 1010
median-5.6134302 × 109
Q30
95-th percentile0
Maximum4.0906602 × 1011
Range5.621832 × 1012
Interquartile range (IQR)2.6144915 × 1010

Descriptive statistics

Standard deviation2.8140812 × 1011
Coefficient of variation (CV)-4.6005449
Kurtosis141.96236
Mean-6.1168432 × 1010
Median Absolute Deviation (MAD)5.6134302 × 109
Skewness-10.735885
Sum-1.6980357 × 1014
Variance7.919053 × 1022
MonotonicityNot monotonic
2024-03-12T19:13:24.651041image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 778
 
22.8%
-1300000000 6
 
0.2%
-9492200000 5
 
0.1%
-1100000000 5
 
0.1%
-5000000000 5
 
0.1%
-6988800000 5
 
0.1%
-5700000000 5
 
0.1%
-6000000000 5
 
0.1%
-4200000000 4
 
0.1%
-3000000000 4
 
0.1%
Other values (1861) 1954
57.2%
(Missing) 641
 
18.8%
ValueCountFrequency (%)
-5.212766 × 10121
< 0.1%
-4.84423 × 10121
< 0.1%
-4.194807 × 10121
< 0.1%
-3.8446 × 10121
< 0.1%
-3.734193 × 10121
< 0.1%
-3.723405 × 10121
< 0.1%
-2.940383 × 10121
< 0.1%
-2.883908 × 10121
< 0.1%
-2.669096 × 10121
< 0.1%
-2.546165 × 10121
< 0.1%
ValueCountFrequency (%)
4.090660225 × 10111
 
< 0.1%
4.06528341 × 10101
 
< 0.1%
3825507472 1
 
< 0.1%
1707563500 1
 
< 0.1%
1517215300 1
 
< 0.1%
773847000 1
 
< 0.1%
402132000 1
 
< 0.1%
18613000 1
 
< 0.1%
660000 1
 
< 0.1%
0 778
22.8%
Distinct1
Distinct (%)< 0.1%
Missing641
Missing (%)18.8%
Memory size187.8 KiB
0.0
2776 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters8328
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2776
81.2%
(Missing) 641
 
18.8%

Length

2024-03-12T19:13:24.746541image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-12T19:13:24.825768image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2776
100.0%

Most occurring characters

ValueCountFrequency (%)
0 5552
66.7%
. 2776
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5552
66.7%
Other Punctuation 2776
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5552
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2776
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8328
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5552
66.7%
. 2776
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8328
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5552
66.7%
. 2776
33.3%
Distinct2776
Distinct (%)100.0%
Missing641
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean2.2781359 × 1011
Minimum-7.1501161 × 1013
Maximum1.3235712 × 1014
Zeros0
Zeros (%)0.0%
Negative1238
Negative (%)36.2%
Memory size26.8 KiB
2024-03-12T19:13:24.908334image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-7.1501161 × 1013
5-th percentile-1.6476881 × 1011
Q1-8.6891276 × 109
median8.0484858 × 108
Q31.8217619 × 1010
95-th percentile2.5829797 × 1011
Maximum1.3235712 × 1014
Range2.0385828 × 1014
Interquartile range (IQR)2.6906747 × 1010

Descriptive statistics

Standard deviation4.1187325 × 1012
Coefficient of variation (CV)18.079398
Kurtosis506.44875
Mean2.2781359 × 1011
Median Absolute Deviation (MAD)1.3529596 × 1010
Skewness15.433754
Sum6.3241053 × 1014
Variance1.6963957 × 1025
MonotonicityNot monotonic
2024-03-12T19:13:25.027516image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-9.421355385 × 10101
 
< 0.1%
-2.076662692 × 10101
 
< 0.1%
-1.254430726 × 10111
 
< 0.1%
-2.209948028 × 10101
 
< 0.1%
7.499307704 × 10101
 
< 0.1%
-8.664096329 × 10101
 
< 0.1%
6.986658409 × 10101
 
< 0.1%
-5.193099110 × 10101
 
< 0.1%
8.589176035 × 10101
 
< 0.1%
1.005789962 × 10101
 
< 0.1%
Other values (2766) 2766
80.9%
(Missing) 641
 
18.8%
ValueCountFrequency (%)
-7.1501161 × 10131
< 0.1%
-4.136235 × 10131
< 0.1%
-1.4982349 × 10131
< 0.1%
-8.066029 × 10121
< 0.1%
-7.070555 × 10121
< 0.1%
-6.905687 × 10121
< 0.1%
-6.603426 × 10121
< 0.1%
-6.224571 × 10121
< 0.1%
-5.893013589 × 10121
< 0.1%
-4.844079 × 10121
< 0.1%
ValueCountFrequency (%)
1.32357115 × 10141
< 0.1%
8.0104048 × 10131
< 0.1%
6.6559025 × 10131
< 0.1%
4.8865303 × 10131
< 0.1%
3.6579496 × 10131
< 0.1%
3.3678895 × 10131
< 0.1%
3.2890701 × 10131
< 0.1%
2.3788391 × 10131
< 0.1%
2.3226723 × 10131
< 0.1%
2.2834234 × 10131
< 0.1%
Distinct2742
Distinct (%)98.8%
Missing641
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1.2805356 × 1012
Minimum0
Maximum1.702724 × 1014
Zeros35
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2024-03-12T19:13:25.147663image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.8388730 × 108
Q16.2771405 × 109
median2.656908 × 1010
Q39.5803708 × 1010
95-th percentile8.5915538 × 1011
Maximum1.702724 × 1014
Range1.702724 × 1014
Interquartile range (IQR)8.9526568 × 1010

Descriptive statistics

Standard deviation1.0359354 × 1013
Coefficient of variation (CV)8.0898605
Kurtosis158.47567
Mean1.2805356 × 1012
Median Absolute Deviation (MAD)2.4297343 × 1010
Skewness11.883682
Sum3.5547667 × 1015
Variance1.0731622 × 1026
MonotonicityNot monotonic
2024-03-12T19:13:25.270066image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35
 
1.0%
2.028510224 × 10101
 
< 0.1%
2.386798611 × 10111
 
< 0.1%
3.287194652 × 10111
 
< 0.1%
3.090892836 × 10111
 
< 0.1%
1.836142293 × 10111
 
< 0.1%
1.613176272 × 10111
 
< 0.1%
2.362677174 × 10111
 
< 0.1%
1.498286202 × 10111
 
< 0.1%
2.2065904 × 10111
 
< 0.1%
Other values (2732) 2732
80.0%
(Missing) 641
 
18.8%
ValueCountFrequency (%)
0 35
1.0%
4522840 1
 
< 0.1%
6638469 1
 
< 0.1%
7834386 1
 
< 0.1%
17773193 1
 
< 0.1%
17851702 1
 
< 0.1%
20582606 1
 
< 0.1%
21416651 1
 
< 0.1%
24251129 1
 
< 0.1%
32485300 1
 
< 0.1%
ValueCountFrequency (%)
1.70272402 × 10141
< 0.1%
1.65330266 × 10141
< 0.1%
1.64376586 × 10141
< 0.1%
1.60175076 × 10141
< 0.1%
1.55544719 × 10141
< 0.1%
1.55046744 × 10141
< 0.1%
1.31707327 × 10141
< 0.1%
1.21407099 × 10141
< 0.1%
1.13814949 × 10141
< 0.1%
1.00741678 × 10141
< 0.1%
Distinct1249
Distinct (%)46.6%
Missing736
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean2.7836261 × 109
Minimum-5.30589 × 1011
Maximum3.004011 × 1012
Zeros1431
Zeros (%)41.9%
Negative537
Negative (%)15.7%
Memory size26.8 KiB
2024-03-12T19:13:25.398637image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-5.30589 × 1011
5-th percentile-1.6488065 × 108
Q10
median0
Q3136145
95-th percentile2.6171754 × 108
Maximum3.004011 × 1012
Range3.5346 × 1012
Interquartile range (IQR)136145

Descriptive statistics

Standard deviation8.4623434 × 1010
Coefficient of variation (CV)30.400431
Kurtosis815.14703
Mean2.7836261 × 109
Median Absolute Deviation (MAD)0
Skewness26.7305
Sum7.4629016 × 1012
Variance7.1611256 × 1021
MonotonicityNot monotonic
2024-03-12T19:13:25.515704image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1431
41.9%
7416509 2
 
0.1%
-23500667 2
 
0.1%
17447968 1
 
< 0.1%
491176140 1
 
< 0.1%
236556096 1
 
< 0.1%
-1240014 1
 
< 0.1%
-6012878 1
 
< 0.1%
-90981051 1
 
< 0.1%
1087334805 1
 
< 0.1%
Other values (1239) 1239
36.3%
(Missing) 736
21.5%
ValueCountFrequency (%)
-5.30589 × 10111
< 0.1%
-4.45111 × 10111
< 0.1%
-3.1869 × 10111
< 0.1%
-2.27743 × 10111
< 0.1%
-1.849314709 × 10111
< 0.1%
-1.82414 × 10111
< 0.1%
-2.724713991 × 10101
< 0.1%
-2.24276383 × 10101
< 0.1%
-1.779519847 × 10101
< 0.1%
-1.321090819 × 10101
< 0.1%
ValueCountFrequency (%)
3.004011 × 10121
< 0.1%
2.131316 × 10121
< 0.1%
1.540994 × 10121
< 0.1%
1.47734 × 10121
< 0.1%
4.68582 × 10111
< 0.1%
3.85113 × 10111
< 0.1%
7.059 × 10101
< 0.1%
5.5995 × 10101
< 0.1%
4.9001 × 10101
< 0.1%
4.2645 × 10101
< 0.1%
Distinct2776
Distinct (%)100.0%
Missing641
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1.5110855 × 1012
Minimum-5.0396993 × 1011
Maximum2.9768738 × 1014
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)0.1%
Memory size26.8 KiB
2024-03-12T19:13:25.637252image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-5.0396993 × 1011
5-th percentile9.3536758 × 108
Q17.6091042 × 109
median3.0533162 × 1010
Q31.0997351 × 1011
95-th percentile1.010198 × 1012
Maximum2.9768738 × 1014
Range2.9819135 × 1014
Interquartile range (IQR)1.0236441 × 1011

Descriptive statistics

Standard deviation1.2800641 × 1013
Coefficient of variation (CV)8.4711562
Kurtosis217.52068
Mean1.5110855 × 1012
Median Absolute Deviation (MAD)2.7653885 × 1010
Skewness13.375265
Sum4.1947734 × 1015
Variance1.6385642 × 1026
MonotonicityNot monotonic
2024-03-12T19:13:25.747595image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8065539347 1
 
< 0.1%
3.090893836 × 10111
 
< 0.1%
1.836142293 × 10111
 
< 0.1%
1.613176272 × 10111
 
< 0.1%
2.362677174 × 10111
 
< 0.1%
1.498286202 × 10111
 
< 0.1%
2.2065904 × 10111
 
< 0.1%
1.687250344 × 10111
 
< 0.1%
1.022543121 × 10111
 
< 0.1%
1.812343897 × 10101
 
< 0.1%
Other values (2766) 2766
80.9%
(Missing) 641
 
18.8%
ValueCountFrequency (%)
-5.039699305 × 10111
< 0.1%
-1.849314709 × 10111
< 0.1%
-1.030545226 × 10111
< 0.1%
-6.477198244 × 10101
< 0.1%
4522840 1
< 0.1%
6638469 1
< 0.1%
7834386 1
< 0.1%
17773193 1
< 0.1%
17851702 1
< 0.1%
20582606 1
< 0.1%
ValueCountFrequency (%)
2.97687381 × 10141
< 0.1%
2.4429822 × 10141
< 0.1%
1.70272402 × 10141
< 0.1%
1.65330266 × 10141
< 0.1%
1.64376586 × 10141
< 0.1%
1.60175076 × 10141
< 0.1%
1.55544719 × 10141
< 0.1%
1.55046744 × 10141
< 0.1%
1.31707327 × 10141
< 0.1%
1.21407099 × 10141
< 0.1%
Distinct317
Distinct (%)9.6%
Missing122
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean930.464
Minimum2.098
Maximum1977.156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2024-03-12T19:13:25.860605image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum2.098
5-th percentile14.944
Q153.224
median923.123
Q31686.774
95-th percentile1768.938
Maximum1977.156
Range1975.058
Interquartile range (IQR)1633.55

Descriptive statistics

Standard deviation776.59015
Coefficient of variation (CV)0.83462676
Kurtosis-1.8624363
Mean930.464
Median Absolute Deviation (MAD)768.117
Skewness-0.084732726
Sum3065878.9
Variance603092.27
MonotonicityNot monotonic
2024-03-12T19:13:25.974789image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1691.24 34
 
1.0%
1686.331 34
 
1.0%
1710.35 31
 
0.9%
1686.157 30
 
0.9%
1768.938 18
 
0.5%
1724.424 17
 
0.5%
164.063 17
 
0.5%
1945.256 17
 
0.5%
1683.519 17
 
0.5%
180.943 17
 
0.5%
Other values (307) 3063
89.6%
(Missing) 122
 
3.6%
ValueCountFrequency (%)
2.098 2
 
0.1%
4.335 3
 
0.1%
7.46 14
0.4%
8.49 1
 
< 0.1%
9.461 4
 
0.1%
10.457 2
 
0.1%
11.025 2
 
0.1%
11.197 16
0.5%
11.359 2
 
0.1%
11.917 13
0.4%
ValueCountFrequency (%)
1977.156 17
0.5%
1955.033 9
0.3%
1945.256 17
0.5%
1944.989 4
 
0.1%
1843.024 8
0.2%
1841.892 9
0.3%
1835.468 17
0.5%
1833.417 17
0.5%
1807.978 17
0.5%
1807.093 17
0.5%
Distinct315
Distinct (%)9.6%
Missing122
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean869.94852
Minimum18.359
Maximum2007.566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2024-03-12T19:13:26.098708image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum18.359
5-th percentile32.588
Q143.171
median813.059
Q31718.004
95-th percentile1895.874
Maximum2007.566
Range1989.207
Interquartile range (IQR)1674.833

Descriptive statistics

Standard deviation798.35036
Coefficient of variation (CV)0.9176984
Kurtosis-1.8432182
Mean869.94852
Median Absolute Deviation (MAD)777.511
Skewness0.12518163
Sum2866480.4
Variance637363.3
MonotonicityNot monotonic
2024-03-12T19:13:26.245598image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.505 34
 
1.0%
37.046 34
 
1.0%
125.744 31
 
0.9%
39.545 30
 
0.9%
39.018 22
 
0.6%
35.587 18
 
0.5%
162.193 18
 
0.5%
1792.455 17
 
0.5%
33.904 17
 
0.5%
1880.593 17
 
0.5%
Other values (305) 3057
89.5%
(Missing) 122
 
3.6%
ValueCountFrequency (%)
18.359 3
 
0.1%
30.364 12
0.4%
31.375 3
 
0.1%
31.517 17
0.5%
31.605 7
0.2%
31.648 7
0.2%
31.686 9
0.3%
31.816 5
 
0.1%
31.844 17
0.5%
31.987 5
 
0.1%
ValueCountFrequency (%)
2007.566 17
0.5%
2005.545 17
0.5%
2004.512 17
0.5%
1986.966 17
0.5%
1949.282 17
0.5%
1926.156 17
0.5%
1898.718 17
0.5%
1898.462 17
0.5%
1897.618 17
0.5%
1895.874 17
0.5%
Distinct316
Distinct (%)9.6%
Missing122
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean799.02313
Minimum7.822
Maximum1213.194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2024-03-12T19:13:26.366035image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum7.822
5-th percentile85.458
Q1766.1
median805.829
Q3924.487
95-th percentile1101.502
Maximum1213.194
Range1205.372
Interquartile range (IQR)158.387

Descriptive statistics

Standard deviation240.35955
Coefficient of variation (CV)0.30081677
Kurtosis3.434176
Mean799.02313
Median Absolute Deviation (MAD)111.148
Skewness-1.7078981
Sum2632781.2
Variance57772.715
MonotonicityNot monotonic
2024-03-12T19:13:26.479681image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
772.646 34
 
1.0%
767.736 34
 
1.0%
791.755 31
 
0.9%
767.562 30
 
0.9%
850.343 18
 
0.5%
805.829 17
 
0.5%
767.32 17
 
0.5%
1026.661 17
 
0.5%
888.499 17
 
0.5%
1086.22 17
 
0.5%
Other values (306) 3063
89.6%
(Missing) 122
 
3.6%
ValueCountFrequency (%)
7.822 2
 
0.1%
8.707 2
 
0.1%
9.189 8
0.2%
17.342 15
0.4%
20.224 15
0.4%
20.261 17
0.5%
20.299 10
0.3%
20.574 5
 
0.1%
21.494 17
0.5%
22.565 17
0.5%
ValueCountFrequency (%)
1213.194 17
0.5%
1211.173 17
0.5%
1210.14 17
0.5%
1192.594 17
0.5%
1154.91 17
0.5%
1131.784 17
0.5%
1104.346 17
0.5%
1104.089 17
0.5%
1103.246 17
0.5%
1101.502 17
0.5%

Interactions

2024-03-12T19:13:19.583984image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:56.850602image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:59.131289image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:00.840879image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:02.584928image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:04.437597image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:06.538359image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:08.346776image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:10.234800image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:12.053235image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:14.139601image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:15.975980image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:17.801125image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:19.716438image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:57.034932image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:59.242802image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:00.972329image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:02.747697image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:04.567257image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:06.680470image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:08.489734image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:10.371788image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:12.197794image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:14.277340image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:16.119717image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:17.933419image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:19.842124image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:57.158281image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:59.364072image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:01.099448image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:02.887947image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:04.699553image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:06.814521image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:08.619933image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:10.500791image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:12.316055image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:14.407573image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:16.256054image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:18.067297image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:19.972178image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:57.295087image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:59.487461image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:01.211522image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:03.023665image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:04.830624image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:06.949911image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:08.756533image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:10.639383image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:12.442816image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:14.532098image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:16.389491image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:18.200494image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:20.359539image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:57.432584image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:59.618423image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:01.347233image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:03.175544image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:04.979355image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:07.088491image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:08.918358image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:10.777610image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:12.578689image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:14.666166image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:16.529926image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:18.339878image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:20.492787image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:57.580271image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:59.757425image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:01.485587image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:03.317541image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:05.123602image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:07.228267image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:09.074005image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:10.918398image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:12.716489image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:14.812891image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:16.680168image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:18.483250image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:20.616743image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:57.712790image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:59.885653image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:01.627381image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:03.449903image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:05.258785image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:07.357438image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:09.213537image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:11.047455image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:12.852109image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:14.942546image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:16.817376image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:18.618724image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:20.752525image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:57.852626image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:00.008269image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:01.774992image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:03.592794image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:05.393073image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:07.505998image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:09.353835image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:11.202824image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:13.012345image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:15.086026image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:16.973317image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:18.766548image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:20.885854image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:57.991396image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:00.176000image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:01.911143image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:03.733777image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:05.545367image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:07.643997image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:09.502981image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:11.338699image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:13.164863image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:15.256094image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:17.115170image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:18.905636image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:21.018479image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:58.135725image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:00.292730image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:02.042717image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:03.881472image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:05.673449image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:07.786407image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:09.645830image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:11.480290image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:13.563307image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:15.401152image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:17.254466image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:19.042356image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:21.157537image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:58.281813image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:00.424134image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:02.181336image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:04.018650image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:05.823255image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:07.925783image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:09.788240image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:11.631567image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:13.703042image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:15.536448image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:17.395404image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:19.182355image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:21.295899image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:58.426657image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:00.582364image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:02.323069image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:04.163693image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:06.244190image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:08.070724image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:09.932302image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:11.773901image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:13.849977image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:15.687567image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:17.527208image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:19.319359image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:21.424432image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:12:58.995226image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:00.716628image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:02.461878image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:04.301836image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:06.392656image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:08.215623image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:10.088444image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:11.916435image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:13.988447image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:15.834999image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:17.663752image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-03-12T19:13:19.452751image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Correlations

2024-03-12T19:13:26.585297image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
1._Gains_from_stock_issuance_and_capital_contributions_from_shareholders2._Repayments_of_capital_contributions_to_owners_and_re-purchases_of_stocks_already_issuedMYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_24_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MOREMYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_22_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MOREMYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_20_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MOREMYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_18_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MOREMYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_14_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MOREMYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_12_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MOREMYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_10_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MOREMYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_09_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MOREMYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_07_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MOREMYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_05_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MOREMYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_03_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE
1._Gains_from_stock_issuance_and_capital_contributions_from_shareholders1.000-0.1030.152-0.127-0.095-0.0040.1460.0690.0430.168-0.034-0.0120.020
2._Repayments_of_capital_contributions_to_owners_and_re-purchases_of_stocks_already_issued-0.1031.000-0.0240.028-0.0190.0990.023-0.079-0.033-0.0830.103-0.081-0.077
MYMEMORY_WARNING:_YOU_USED_ALL_AVAILABLE_FREE_TRANSLATIONS_FOR_TODAY._NEXT_AVAILABLE_IN__22_HOURS_46_MINUTES_24_SECONDS_VISIT_HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP_TO_TRANSLATE_MORE0.152-0.0241.000-0.928-0.266-0.1640.0370.261-0.0200.272-0.0440.1310.164
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Missing values

2024-03-12T19:13:21.607244image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-12T19:13:22.034975image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-03-12T19:13:22.560685image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

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Duplicate rows

Most frequently occurring

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